Power supply guaranteeing type optical storage micro-grid operation method, system and device based on multi-party game and medium

Abstract

The application discloses a power supply guarantee type light storage micro-grid operation method, system, equipment and medium based on multi-party game, and comprises the following steps: acquiring network parameters and equipment parameters of the power supply guarantee type light storage micro-grid; constructing a new incentive benefit model and a power supply guarantee subsidy model of the power supply guarantee type light storage micro-grid according to the network parameters and the equipment parameters of the power supply guarantee type light storage micro-grid; constructing a net income model of an investment subject; constructing a light-storage-grid cooperation game model; solving the light-storage-grid cooperation game model through an NSGA-II algorithm to obtain a Nash equilibrium point of the light-storage-grid cooperation game model, and obtaining and outputting an optimal operation strategy. The application considers the cooperation game of a photovoltaic investor, an energy storage investor and a micro-grid operator, realizes the emergency power supply guarantee of the micro-grid by using the photovoltaic and the energy storage, and maximizes the economic benefits of the three subjects.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of optimal operation of optical storage micro-grid, and particularly relates to a power supply guarantee type optical storage micro-grid operation method, system, equipment and medium based on multi-party game. BACKGROUND

[0002] With the increasing demand of people for electricity, power grid companies are under great pressure to ensure power supply. The traditional power supply guarantee mode using emergency power supply vehicles has problems such as high cost of power supply guarantee equipment, low asset utilization rate, and large workload of operation and maintenance personnel. In normal operation, the optical storage micro-grid is in a grid-connected state, and cooperates with the upper grid to supply power to users. After the failure of the upper grid, the micro-grid switches from grid-connected mode to island mode, and relies on photovoltaic and energy storage to supply power to important loads in the micro-grid. The related technology of optical storage micro-grid in emergency power supply scenarios has the defect of low operation economy. SUMMARY

[0003] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, the present application proposes a power supply guarantee type optical storage micro-grid operation method, system, equipment and medium based on multi-party game, which can improve the operation economy of optical storage micro-grid in emergency power supply scenarios.

[0004] The power supply guarantee type optical storage micro-grid operation method based on multi-party game according to the first aspect of the present application comprises the following steps:

[0005] Obtaining network parameters and device parameters of the power supply guarantee type optical storage micro-grid;

[0006] In the emergency power supply scenario of the optical storage micro-grid, a new incentive benefit model and a power supply subsidy model of the power supply guarantee type optical storage micro-grid are constructed according to the network parameters and device parameters of the power supply guarantee type optical storage micro-grid;

[0007] Based on the new incentive benefit model and the power supply subsidy model of the power supply guarantee type optical storage micro-grid, a net income model of the investment subject is constructed, which includes a net income model of a photovoltaic investor, a net income model of an energy storage investor and a net income model of a micro-grid operator;

[0008] According to the net income model of the investment subject, a light-storage-grid cooperative game model is constructed by combining a Nash negotiation cooperative game algorithm;

[0009] The light-storage-grid cooperative game model is solved by NSGA-Ⅱ algorithm to obtain a Nash equilibrium point of the light-storage-grid cooperative game model, and an optimal operation strategy is obtained according to the Nash equilibrium point and output.

[0010] According to the power supply guarantee type photovoltaic and energy storage micro-grid operation method based on multi-party game of the first aspect of the present application, at least the following beneficial effects are achieved:

[0011] The embodiment of the present application first acquires network parameters and equipment parameters of the power supply guarantee type photovoltaic and energy storage micro-grid; then in the emergency power supply guarantee scenario of the photovoltaic and energy storage micro-grid, a new incentive benefit model and a power supply guarantee subsidy model of the power supply guarantee type photovoltaic and energy storage micro-grid are constructed according to the network parameters and the equipment parameters of the power supply guarantee type photovoltaic and energy storage micro-grid; then a net income model of an investment subject is constructed based on the new incentive benefit model and the power supply guarantee subsidy model of the power supply guarantee type photovoltaic and energy storage micro-grid, the net income model of the investment subject including a net income model of a photovoltaic investor, a net income model of an energy storage investor and a net income model of a micro-grid operator; then a photovoltaic-energy storage-grid cooperative game model is constructed according to the net income model of the investment subject combined with a Nash negotiation cooperative game algorithm; finally, the photovoltaic-energy storage-grid cooperative game model is solved through an NSGA-II algorithm to obtain a Nash equilibrium point of the photovoltaic-energy storage-grid cooperative game model, and an optimal operation strategy is obtained according to the Nash equilibrium point and output. The present application considers the cooperative game of the photovoltaic investor, the energy storage investor and the micro-grid operator, and maximizes the economic benefits of the three subjects while realizing the emergency power supply guarantee of the micro-grid by using photovoltaic and energy storage.

[0012] According to some embodiments of the present application, in the step of acquiring the network parameters and the equipment parameters of the power supply guarantee type photovoltaic and energy storage micro-grid, the network parameters include network line impedance parameters and node load parameters, and the equipment parameters include equipment investment cost, daily maintenance cost, fault repair cost, unit initial investment cost of the photovoltaic system, annual operation and maintenance cost of the photovoltaic system, unit capacity initial investment cost of the energy storage system, unit power initial investment cost of the energy storage system and annual operation and maintenance cost of the energy storage system.

[0013] According to some embodiments of the present application, in the step of constructing the new incentive benefit model and the power supply guarantee subsidy model of the power supply guarantee type photovoltaic and energy storage micro-grid according to the network parameters and the equipment parameters of the power supply guarantee type photovoltaic and energy storage micro-grid, the formula of the new incentive benefit model is:

[0014]

[0015] wherein, B new is the new incentive benefit, is the initial investment cost of the emergency power generation vehicle, is the annual operation and maintenance cost of the emergency power generation vehicle, is the fuel cost, k a is the equivalent annual value conversion coefficient, r is the discount rate, and L is the project period.

[0016] The formula of the power supply guarantee subsidy model is:

[0017]

[0018] wherein, is the power supply subsidy, b is the unit power supply subsidy, is the annual power supply of the energy storage system, is the rated capacity of the i-th energy storage battery invested by the investor, N ess is the number of energy storage batteries, T year is the number of days in a year.

[0019] According to some embodiments of the present application, in the step of constructing the net income model of the investment subject based on the new incentive benefit model and the power supply subsidy model of the power supply type photovoltaic energy storage microgrid, the formula of the net income model of the photovoltaic investor is:

[0020]

[0021] wherein, I PV is the optimal net income of the photovoltaic investor, is the annual income of the photovoltaic investor, is the power generation benefit of the photovoltaic investor, C PV_inv is the initial investment cost of the photovoltaic investor, C PV_a is the annual operation and maintenance cost of the photovoltaic investor;

[0022] The formula of the net income model of the energy storage investor is:

[0023]

[0024] wherein, I ess is the optimal net income of the energy storage investor, B ess is the energy storage selling benefit, is the power supply subsidy of the energy storage system, is the cost of purchasing photovoltaic selling electricity of the energy storage system, C ess_inv is the initial investment cost of the energy storage investor, C ess_a is the annual operation and maintenance cost of the energy storage investor;

[0025] The formula of the net income model of the microgrid operator is:

[0026]

[0027] wherein, I mo is the optimal net income of the microgrid operator, B mo is the selling benefit, C mo_inv is the initial investment cost of the microgrid operator, C mo_a is the annual operation and maintenance cost of the microgrid operator.

[0028] According to some embodiments of the present application, each variable in the net income model of the photovoltaic investor, the net income model of the energy storage investor and the net income model of the micro-grid operator needs to satisfy the power balance constraint, the power flow constraint, the photovoltaic system capacity constraint, the photovoltaic sale to energy storage constraint, the energy storage capacity constraint, the energy storage charge and discharge constraint and the operation start and end energy storage charge equal constraint.

[0029] According to some embodiments of the present application, in the step of constructing the photovoltaic-energy storage-grid cooperative game model according to the net income model of the investment subject combined with the Nash negotiation cooperative game algorithm, the formula of the photovoltaic-energy storage-grid cooperative game model is:

[0030]

[0031] wherein, I PV is the optimal net income of the photovoltaic investor, I ess is the optimal net income of the energy storage investor, I mo is the optimal net income of the micro-grid operator, and are the Nash negotiation breaking points of the photovoltaic investor, the energy storage investor and the micro-grid operator, respectively.

[0032] According to some embodiments of the present application, the optimal operation strategy includes the optimal configuration capacity of the photovoltaic, the electricity and price sold by the photovoltaic to the energy storage at each time, the optimal configuration capacity of the energy storage, the charge and discharge power of the energy storage at each time and the unit power supply guarantee subsidy amount for the energy storage investor.

[0033] The power supply guarantee type photovoltaic energy storage micro-grid operation system based on multi-party game according to the second aspect of the embodiments of the present application comprises:

[0034] A parameter acquisition unit is configured to acquire network parameters and equipment parameters of the power supply guarantee type photovoltaic energy storage micro-grid.

[0035] A first model construction unit is configured to, in an emergency power supply guarantee scenario of the photovoltaic energy storage micro-grid, construct a new incentive benefit model and a power supply guarantee subsidy model of the power supply guarantee type photovoltaic energy storage micro-grid according to the network parameters and the equipment parameters of the power supply guarantee type photovoltaic energy storage micro-grid.

[0036] A second model construction unit is configured to, based on the new incentive benefit model and the power supply guarantee subsidy model of the power supply guarantee type photovoltaic energy storage micro-grid, construct a net income model of an investment subject, the net income model of the investment subject including a net income model of a photovoltaic investor, a net income model of an energy storage investor and a net income model of a micro-grid operator.

[0037] A third model construction unit is configured to construct a photo-storage-grid cooperative game model according to a net income model of an investment subject in combination with a Nash negotiation cooperative game algorithm;

[0038] A model calculation unit is configured to solve the photo-storage-grid cooperative game model by an NSGA-II algorithm to obtain a Nash equilibrium point of the photo-storage-grid cooperative game model, and output an optimal operation strategy according to the Nash equilibrium point.

[0039] According to the power supply guarantee type photo-storage micro-grid operation system based on multi-party game according to the second aspect of the embodiment of the present application, at least the following beneficial effects are achieved:

[0040] The embodiment of the present application firstly acquires network parameters and equipment parameters of the power supply guarantee type photo-storage micro-grid; then in an emergency power supply guarantee scenario of the photo-storage micro-grid, a new incentive benefit model of the power supply guarantee type photo-storage micro-grid and a power supply guarantee subsidy model are constructed according to the network parameters and the equipment parameters of the power supply guarantee type photo-storage micro-grid; then a net income model of an investment subject is constructed based on the new incentive benefit model of the power supply guarantee type photo-storage micro-grid and the power supply guarantee subsidy model, the net income model of the investment subject including a net income model of a photovoltaic investor, a net income model of an energy storage investor and a net income model of a micro-grid operator; then a photo-storage-grid cooperative game model is constructed according to the net income model of the investment subject in combination with a Nash negotiation cooperative game algorithm; finally, the photo-storage-grid cooperative game model is solved by an NSGA-II algorithm to obtain a Nash equilibrium point of the photo-storage-grid cooperative game model, and an optimal operation strategy is obtained according to the Nash equilibrium point and output. The present application considers the cooperative game of the photovoltaic investor, the energy storage investor and the micro-grid operator, and maximizes the economic benefits of the three subjects while realizing the emergency power supply guarantee of the micro-grid by using the photovoltaic and the energy storage.

[0041] The electronic device according to the third aspect of the embodiment of the present application includes a memory and a processor, the memory stores a computer program or instructions, and the processor implements the power supply guarantee type photo-storage micro-grid operation method based on multi-party game when executing the computer program or instructions.

[0042] The electronic device according to the third aspect of the embodiment of the present application has at least the following beneficial effects:

[0043] The embodiment of the present application firstly acquires network parameters and equipment parameters of the power supply guarantee type optical storage micro-grid; then in the emergency power supply guarantee scene of the optical storage micro-grid, a new incentive benefit model and a power supply guarantee subsidy model of the power supply guarantee type optical storage micro-grid are constructed according to the network parameters and the equipment parameters of the power supply guarantee type optical storage micro-grid; then a net income model of an investment subject is constructed based on the new incentive benefit model and the power supply guarantee subsidy model of the power supply guarantee type optical storage micro-grid, the net income model of the investment subject including a net income model of a photovoltaic investor, a net income model of an energy storage investor and a net income model of a micro-grid operator; then a photovoltaic-energy storage-grid cooperative game model is constructed according to the net income model of the investment subject combined with a Nash negotiation cooperative game algorithm; finally, the photovoltaic-energy storage-grid cooperative game model is solved through an NSGA-II algorithm to obtain a Nash equilibrium point of the photovoltaic-energy storage-grid cooperative game model, and an optimal operation strategy is obtained according to the Nash equilibrium point and output. The present application considers the cooperative game of the photovoltaic investor, the energy storage investor and the micro-grid operator, realizes the emergency power supply guarantee of the micro-grid by using the photovoltaic and the energy storage, and maximizes the economic benefits of the three subjects.

[0044] The storage medium according to the fourth aspect of the present application is a computer readable storage medium, used for computer readable storage, and stores one or more programs, which can be executed by one or more processors to implement the power supply guarantee type optical storage micro-grid operation method based on multi-party game.

[0045] The storage medium according to the fourth aspect of the present application has at least the following beneficial effects:

[0046] The embodiment of the present application firstly acquires network parameters and equipment parameters of the power supply guarantee type optical storage micro-grid; then in the emergency power supply guarantee scene of the optical storage micro-grid, a new incentive benefit model and a power supply guarantee subsidy model of the power supply guarantee type optical storage micro-grid are constructed according to the network parameters and the equipment parameters of the power supply guarantee type optical storage micro-grid; then a net income model of an investment subject is constructed based on the new incentive benefit model and the power supply guarantee subsidy model of the power supply guarantee type optical storage micro-grid, the net income model of the investment subject including a net income model of a photovoltaic investor, a net income model of an energy storage investor and a net income model of a micro-grid operator; then a photovoltaic-energy storage-grid cooperative game model is constructed according to the net income model of the investment subject combined with a Nash negotiation cooperative game algorithm; finally, the photovoltaic-energy storage-grid cooperative game model is solved through an NSGA-II algorithm to obtain a Nash equilibrium point of the photovoltaic-energy storage-grid cooperative game model, and an optimal operation strategy is obtained according to the Nash equilibrium point and output. The present application considers the cooperative game of the photovoltaic investor, the energy storage investor and the micro-grid operator, realizes the emergency power supply guarantee of the micro-grid by using the photovoltaic and the energy storage, and maximizes the economic benefits of the three subjects.

[0047] Additional aspects and advantages of the present application will be made apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0048] The present application will be further described with reference to the accompanying drawings and examples in which:

[0049] Figure 1 A flow chart of the power supply guaranteeing type light storage micro-grid operation method based on multi-party game in the embodiment of the present application;

[0050] Figure 2 A calculation example topology in the embodiment of the present application;

[0051] Figure 3 An electricity trading price schematic diagram in the embodiment of the present application;

[0052] Figure 4 A light PV main electricity trading schematic diagram in the embodiment of the present application;

[0053] Figure 5 An electricity trading schematic diagram of energy storage charging time in the embodiment of the present application. DETAILED DESCRIPTION

[0054] The embodiments of the present application will be described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar notations represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary, only for explaining the present application, and cannot be understood as limiting the present application.

[0055] In the description of the present application, it is understood that the orientation description, such as the upper, lower, etc. The orientation or positional relationship shown in the drawing is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0056] In the description of the present application, the plural refers to two or more. If there is a description of the first, second, only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the order of the indicated technical features.

[0057] In the description of the present application, unless otherwise explicitly limited, the words such as setting, installing, connecting, etc. Should be broadly understood, and the person skilled in the art can reasonably determine the specific meaning of the above words in the present application in combination with the specific content of the technical solution.

[0058] Reference Figure 1As shown, a power supply type light storage micro-grid operation method based on multi-party game, comprising the following steps:

[0059] S100, obtaining network parameters and equipment parameters of the power supply type light storage micro-grid;

[0060] Specifically, the network parameters in step S100 include network line impedance parameters and node load parameters, and the equipment parameters include equipment investment cost, daily maintenance cost, fault repair cost, unit initial investment cost of the photovoltaic system, annual operation and maintenance cost of the photovoltaic system, unit capacity initial investment cost of the energy storage system, unit power initial investment cost of the energy storage system, and annual operation and maintenance cost of the energy storage system.

[0061] S200, in the emergency power supply scenario of the light storage micro-grid, a new incentive benefit model of the power supply type light storage micro-grid and a power supply subsidy model are constructed according to the network parameters and equipment parameters of the power supply type light storage micro-grid;

[0062] It should be noted that the new incentive benefit in step S200 refers to the cost saved after the light storage micro-grid replaces the traditional emergency power supply vehicle or power generation vehicle for power supply. Specifically, the formula of the new incentive benefit model in the embodiment of the application is:

[0063]

[0064] Wherein, B new is the new incentive benefit, is the initial investment cost of the emergency power generation vehicle, is the annual operation and maintenance cost of the emergency power generation vehicle, is the fuel cost, k a is the equivalent annual value conversion coefficient, r is the discount rate, and L is the project period;

[0065] It should be noted that the power supply subsidy in step S200 refers to the subsidy given to the investor to attract the investor to invest in energy storage. Specifically, the formula of the power supply subsidy model in the embodiment of the application is:

[0066]

[0067] Wherein, is the annual power supply subsidy of the energy storage system, which is referred to as the power supply subsidy; x b is the unit power supply subsidy, with unit of yuan / (kW·h); is the annual power supply capacity of the energy storage system, with unit of kW·h; is the rated capacity of the i th energy storage battery invested by the investor, with unit of kW·h; N ess is the number of energy storage batteries; T year is the number of days in a year, that is, 365 days.

[0068] S300, based on the new incentive benefit model of the power supply type light storage micro-grid and the power supply subsidy model, a net income model of the investment subject is constructed, the net income model of the investment subject including a net income model of a photovoltaic investor, a net income model of a storage energy investor and a net income model of a micro-grid operator;

[0069] It should be noted that the net income model of the photovoltaic investor in step S300 is as follows:

[0070] The net income model of the photovoltaic investor can be expressed as a photovoltaic investor net income maximization objective function, and its expression is:

[0071]

[0072] Among them, I PV is the optimal net income of the photovoltaic investor, is the annual income of the photovoltaic investor, is the power generation benefit of the photovoltaic investor, C PV_inv is the initial investment cost equivalent annual value of the photovoltaic investor, C PV_a is the annual operation and maintenance cost of the photovoltaic investor;

[0073] It should be noted that the initial investment cost of the photovoltaic system is calculated according to the capacity, so the calculation formula of the initial investment cost equivalent annual value of the photovoltaic investor is:

[0074]

[0075] Among them, C PV_inv is the initial investment cost equivalent annual value of the photovoltaic investor; c PV is the unit capacity investment cost, with the unit of yuan / (kW·h); is the power generation of the photovoltaic at time t, with the unit of kW·h; T day is 24 hours a day.

[0076] It should be noted that the photovoltaic power generation is a new type of energy generation without pollution, and the annual operation and maintenance cost of the photovoltaic investor is the annual maintenance cost of the photovoltaic power generation operation, and its calculation formula is:

[0077]

[0078] Among them, C PV_a is the annual operation and maintenance cost of the photovoltaic investor; m PV is the operation and maintenance cost coefficient of the photovoltaic, with the unit of yuan / (kW·h).

[0079] It should be noted that the annual income of the photovoltaic investor refers to the income of the photovoltaic to the grid in a year, so the expression of the annual income of the photovoltaic investor is:

[0080]

[0081] in, Let ρ be the amount of electricity sold by the photovoltaic system to the grid at time t; PV The feed-in tariff for photovoltaic power is expressed in yuan / (kW·h).

[0082] It should be noted that the annual return for photovoltaic investors is the revenue from photovoltaic power generation connected to the grid, expressed as:

[0083]

[0084] in, Let t be the amount of electricity sold by photovoltaic investors to energy storage investors. The price at which photovoltaic investors sell electricity to energy storage investors at time t is expressed in yuan / (kW·h).

[0085] It should be noted that the net income model for energy storage investors in step S300 is as follows:

[0086] The net profit model for energy storage investors can be expressed as an objective function that maximizes the net profit of energy storage investors, and its expression is:

[0087]

[0088] Among them, I ess For energy storage investors to achieve the optimal net return, B ess To improve the efficiency of energy storage and electricity sales, Subsidies for power supply to energy storage systems C is the cost of purchasing photovoltaic electricity for energy storage systems. ess_inv C represents the initial investment cost for energy storage investors. ess_a This refers to the annual operation and maintenance costs for energy storage investors.

[0089] It should be noted that the initial investment cost for energy storage investors, i.e., the investment in an energy storage system, needs to consider two physical quantities: the capacity of the energy storage system and its output power. Therefore, the expression for the initial investment cost for energy storage investors is as follows:

[0090]

[0091] in, The unit cost of investment for energy storage systems is expressed in yuan / (kW·h). The unit output power investment cost of the energy storage system is expressed in yuan / kW; E ess P represents the total capacity of the energy storage system, expressed in kW·h. ess This refers to the rated power of the energy storage system, measured in kW.

[0092] It should be noted that energy storage systems regulate power based on the power relationship between microgrid loads and other generating equipment. Therefore, the annual operation and maintenance costs for energy storage investors are related to their generated and absorbed power, as expressed in the following formula:

[0093]

[0094] Where, m ess This is the energy storage operation and maintenance cost coefficient, expressed in yuan / (kW·h); These represent the discharge power and charging power of the energy storage battery during time period t, respectively, both of which are positive values, and are expressed in kW.

[0095] It should be noted that the benefits of energy storage for electricity sales include the revenue from selling electricity purchased from photovoltaic power and the arbitrage profits from "low storage, high generation" of energy storage. Therefore, the expression for the benefits of energy storage for electricity sales is:

[0096]

[0097] in, The electricity sold during period t after purchasing electricity from photovoltaic investors; "low-storage-high-generation" arbitrage refers to storing and discharging energy during peak hours and charging energy during off-peak hours; ρ e,t The price is for electricity during time period t, expressed in yuan / (kW·h).

[0098] It should be noted that the net revenue model for microgrid operators in step S300 is as follows:

[0099] The net revenue model for microgrid operators can be expressed as the objective function for maximizing the net revenue of microgrid operators, and its expression is as follows:

[0100]

[0101] Among them, I mo For microgrid operators, this represents the optimal net profit; B mo For microgrid operators' electricity sales revenue; C mo_inv C represents the initial investment cost for microgrid operators. mo_a This represents the annual operation and maintenance cost for microgrid operators.

[0102] It should be noted that the variables in the net income models for photovoltaic (PV) investors, energy storage investors, and microgrid operators must meet certain constraints, including power balance constraints, power flow constraints, PV system capacity constraints, PV electricity sales to energy storage constraints, energy storage capacity constraints, energy storage charge and discharge constraints, and the constraint that the energy storage load is equal at the beginning and end of operation. These constraints are detailed below:

[0103] (1) Power balance constraint, the expression is:

[0104]

[0105] Among them, P load (t) represents the load demand power in time period t; P x (t) represents the power output of the x-th power generation unit in time period t; P line (t) represents tie-line power; I is a 0-1 variable, I = 1 when the microgrid is connected to the grid, and I = 0 when the microgrid is islanded; P loss (t) represents the active power loss generated by the microgrid in time period t.

[0106] (2) Power flow constraint, expressed as:

[0107]

[0108] Among them, P i (t), Q i (t) represents the active power and reactive power injected by node i at time t, respectively; U i (t), U j (t) represents the voltage values ​​of node i and node j at time t, respectively; G ij B ij and θ ij These represent the conductance, susceptance, and power angle between node i and node j, respectively; N is the total number of nodes in the system.

[0109] (3) Photovoltaic system capacity constraint, expressed as:

[0110]

[0111] Among them, P PV,i Let i be the rated capacity of the i-th photovoltaic system; This represents the maximum rated capacity that can be installed in the i-th photovoltaic system.

[0112] (4) Constraints on photovoltaic power sales to energy storage, expressed as:

[0113]

[0114] Among them, P PV-ess,j P represents the amount of electricity sold by the j-th photovoltaic system to energy storage at each moment during a typical day; PV,j This represents the actual amount of electricity generated by the j-th photovoltaic system at each moment on a typical day.

[0115] (5) Energy storage capacity constraints: In order to maximize the role of energy storage batteries and extend their service life, it is necessary to fully consider the state of charge constraints of energy storage batteries. Therefore, the expression for energy storage capacity constraints is:

[0116]

[0117] Where SOC(t) represents the state of charge of the energy storage battery at time t. min and SOC max These represent the minimum and maximum allowable states of charge (SOC) of the energy storage battery, respectively; η is the energy storage battery conversion efficiency, which is taken as the charging efficiency η during charging. c During discharge, the discharge efficiency η is taken. d The reciprocal of 1 / η d E ess Δt represents the total capacity of the energy storage battery; Δt represents the time step; this paper defines the initial state of charge of the energy storage system at time 0 as 50%.

[0118] (6) Energy storage charge and discharge constraints, the expression is:

[0119]

[0120] Among them, P dis (t) represents the energy storage discharge power; P ch (t) represents the energy storage charging power; These are the minimum and maximum charging power, respectively. These represent the minimum and maximum discharge power, respectively; the first equation illustrates that an energy storage system cannot charge and discharge simultaneously.

[0121] (7) The constraint that the energy storage charge is equal at the beginning and end of operation is expressed as follows:

[0122]

[0123] Where Δt is the charging or discharging time of the energy storage system.

[0124] S400. Construct a photovoltaic-storage-grid cooperative game model based on the net income model of the investment entity and the Nash negotiation cooperative game algorithm;

[0125] It should be noted that since photovoltaic investors, energy storage investors, and microgrid operators belong to different stakeholders, a photovoltaic-energy storage-grid cooperation game model can be derived using Nash negotiation and cooperation game theory, as follows:

[0126]

[0127] in, and These represent the optimal net returns for photovoltaic investors, energy storage investors, and microgrid operators before the cooperation, respectively; these are the points at which the Nash negotiations broke down. and All are constants.

[0128] It should be noted that the above-mentioned photovoltaic-storage-grid cooperative game model also needs to satisfy the constraints in (1)-(7).

[0129] S500: Solve the optical-storage-grid cooperative game model using the NSGA-II algorithm to obtain the Nash equilibrium point of the optical-storage-grid cooperative game model. Based on the Nash equilibrium point, obtain the optimal operating strategy and output it.

[0130] It should be noted that the specific steps of step S500 involve solving the photovoltaic-storage-grid cooperative game model using the NSGA-II algorithm on the MATLAB platform, by setting the decision variable set... The initial data is cross-referenced and mutated to obtain the optimal solution of the game model. The decision variables are photovoltaic capacity, photovoltaic power sold to energy storage capacity at each time, photovoltaic power sold to energy storage price at each time, energy storage charging and discharging power at each time, energy storage capacity, and unit power supply guarantee subsidy. Finally, the optimal photovoltaic capacity configuration, the amount of electricity sold from photovoltaic to energy storage at each time and the price, the optimal energy storage capacity configuration, the energy storage charging and discharging power at each time, and the unit power supply guarantee subsidy amount for energy storage investors are output.

[0131] The specific implementation process of this invention is illustrated below with specific application examples:

[0132] In one embodiment, an improved IEEE 33-node system is selected as the base data, and photovoltaic and energy storage systems are introduced into the original 18-node system, such as... Figure 2 As shown, the system's rated load is 800kW. The project period is set to L = 15 years, the discount rate r is set to 5%, and inflation is not considered. Equipment cost parameters are shown in Table 1, equipment parameters are shown in Table 2, and the industrial time-of-use electricity price for this example is shown in Table 3.

[0133] Table 1 Equipment Cost Parameters

[0134]

[0135] Table 2 Equipment Property Parameters

[0136]

[0137] Table 3 Time-of-use Electricity Prices for Industrial Use

[0138]

[0139]

[0140] Based on the above data, the electricity trading price obtained by the method proposed in this embodiment of the invention is as follows: Figure 3 As shown, electricity trading with photovoltaics as the main component is as follows: Figure 4 As shown, the electricity trading during energy storage charging is as follows: Figure 5As shown in Tables 4-6, the transaction costs and revenues of the optical-storage-grid entities before and after cooperative operation are as follows.

[0141] Table 4 Transaction Costs and Benefits for Photovoltaic Investors

[0142]

[0143] Table 5 Transaction Costs and Benefits for Energy Storage Investors

[0144]

[0145] Table 6 Transaction Costs and Benefits for Microgrid Operators

[0146]

[0147] It can be seen that the net income of the photovoltaic-storage-grid entities increased by RMB 133,590, RMB 133,230, and RMB 132,860 respectively after the cooperative operation, representing increases of approximately 3.553%, 17.703%, and 3.685%. This indicates that individual interests were significantly enhanced through the tripartite cooperative operation. Meanwhile, calculations show that the overall annual net income of the alliance increased by RMB 399,680. Considering the impact of calculation errors, the net benefit increase for each entity is basically equal, each accounting for one-third of the overall benefit increase of the alliance.

[0148] In summary, the embodiments of this invention first obtain the network parameters and equipment parameters of the power supply guarantee type photovoltaic-storage microgrid; then, in the emergency power supply guarantee scenario of the photovoltaic-storage microgrid, a new incentive benefit model and a power supply guarantee subsidy model for the power supply guarantee type photovoltaic-storage microgrid are constructed based on the network parameters and equipment parameters; then, based on the new incentive benefit model and the power supply guarantee subsidy model, a net income model for investment entities is constructed, which includes the net income models of photovoltaic investors, energy storage investors, and microgrid operators; then, based on the net income models of investment entities and combined with the Nash negotiation cooperative game algorithm, a photovoltaic-storage-grid cooperative game model is constructed; finally, the photovoltaic-storage-grid cooperative game model is solved using the NSGA-II algorithm to obtain the Nash equilibrium point of the photovoltaic-storage-grid cooperative game model, and the optimal operating strategy is obtained and output based on the Nash equilibrium point. This invention considers the cooperative game of photovoltaic investors, energy storage investors, and microgrid operators, maximizing the economic benefits of the three entities while utilizing photovoltaics and energy storage to achieve emergency power supply guarantee for microgrids.

[0149] This invention also relates to a power supply guarantee-type photovoltaic-storage microgrid operation system based on multi-party game theory, comprising: a parameter acquisition unit for acquiring network parameters and equipment parameters of the power supply guarantee-type photovoltaic-storage microgrid; a first model construction unit for constructing a new incentive benefit model and a power supply guarantee subsidy model for the power supply guarantee-type photovoltaic-storage microgrid based on the network parameters and equipment parameters in an emergency power supply guarantee scenario; and a second model construction unit for constructing a new incentive benefit model and a power supply guarantee subsidy model based on the new incentive benefit model and the power supply guarantee subsidy model of the power supply guarantee-type photovoltaic-storage microgrid. The system comprises three main components: a first, a model building unit; a second, a model construction unit; and a third, a model calculation unit. The third, a model building unit, is used to construct a photovoltaic-storage-grid cooperative game model based on the net profit models of the investment entities and the Nash negotiation cooperative game algorithm. The third, a model construction unit, is used to solve the photovoltaic-storage-grid cooperative game model using the NSGA-II algorithm, obtaining the Nash equilibrium point of the photovoltaic-storage-grid cooperative game model, and then obtaining and outputting the optimal operating strategy based on the Nash equilibrium point.

[0150] The power supply-guaranteed photovoltaic-storage microgrid operation system based on multi-party game theory in this embodiment of the invention is used to execute the power supply-guaranteed photovoltaic-storage microgrid operation method based on multi-party game theory in the above embodiments. Its specific processing procedure is the same as that of the power supply-guaranteed photovoltaic-storage microgrid operation method based on multi-party game theory in the above embodiments, and will not be described in detail here.

[0151] The present invention also relates to an electronic device, including a memory and a processor, wherein the memory stores a computer program or instructions, and the processor executes the computer program or instructions to implement the above-mentioned operation method of a power supply-guaranteed photovoltaic-storage microgrid based on multi-party game theory.

[0152] In implementation, each step of the above method can be completed by integrated logic circuits in the processor hardware or by computer programs or instructions in software form. The steps of the method disclosed in the embodiments of this application can be directly embodied in the execution by the hardware processor, or by a combination of hardware and software modules in the processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, detailed descriptions are not provided here.

[0153] It should be noted that the processor in the embodiments of this application can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method embodiments can be completed by the integrated logic circuits in the processor's hardware or by a computer program or instructions in software form. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory, and the processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above methods.

[0154] It is understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SLDRAM), and direct rambus RAM (DRRAM). It should be noted that the memories described herein are intended to include, but are not limited to, these and any other suitable types of memory.

[0155] The present invention also relates to a storage medium, which is a computer-readable storage medium for computer-readable storage. The storage medium stores one or more programs, which can be executed by one or more processors to realize the above-mentioned operation method of power supply-guaranteed photovoltaic-storage microgrid based on multi-party game theory.

[0156] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0157] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, the simultaneous existence of A and B, or the existence of B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c can represent: the existence of a alone, the existence of b alone, the existence of c alone, the simultaneous existence of a and b, the simultaneous existence of a and c, the simultaneous existence of b and c, or the simultaneous existence of a, b, and c, where a, b, and c can be single or multiple.

[0158] In the embodiments of this application, "instruction" can include direct and indirect instructions, as well as explicit and implicit instructions. The information indicated by a certain piece of information is called the information to be instructed. In the specific implementation process, there can be many ways to instruct the information to be instructed, such as, but not limited to, directly instructing the information to be instructed, such as instructing the information to be instructed itself or its index. It can also indirectly instruct the information to be instructed by instructing other information, where there is a relationship between the other information and the information to be instructed. It can also instruct only a part of the information to be instructed, while the other parts are known or pre-agreed upon. For example, the instruction of specific information can be achieved by using a pre-agreed (e.g., protocol-defined) arrangement of various pieces of information, thereby reducing the instruction overhead to some extent.

[0159] In the embodiments of this application, the terms and English abbreviations are exemplary examples given for ease of description and should not be construed as limiting the application in any way. This application does not preclude the possibility of defining other terms that can achieve the same or similar functions in existing or future agreements.

[0160] The embodiments described above are merely examples of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these modifications and improvements all fall within the protection scope of this application.

Claims

1. A method for operating a power-guaranteed photovoltaic-storage microgrid based on multi-party game theory, characterized in that, Includes the following steps: Obtain network parameters and equipment parameters for a power-guaranteed photovoltaic-storage microgrid; In the emergency power supply scenario of photovoltaic-storage microgrid, a new incentive benefit model and power supply subsidy model for the power supply type photovoltaic-storage microgrid are constructed based on the network parameters and equipment parameters of the power supply type photovoltaic-storage microgrid. Based on the new incentive benefit model and the power supply guarantee subsidy model for photovoltaic-storage microgrids with guaranteed power supply, a net income model for investment entities is constructed. The net income model for investment entities includes the net income model for photovoltaic investors, the net income model for energy storage investors, and the net income model for microgrid operators. A photovoltaic-storage-grid cooperation game model is constructed based on the net income model of the investment entities and the Nash negotiation cooperation game algorithm. The NSGA-II algorithm is used to solve the optical-storage-grid cooperative game model, and the Nash equilibrium point of the optical-storage-grid cooperative game model is obtained. The optimal operating strategy is obtained and output based on the Nash equilibrium point. In the steps of constructing a new incentive benefit model and a power supply subsidy model for a power-guaranteed photovoltaic-storage microgrid based on the network parameters and equipment parameters of the power-guaranteed photovoltaic-storage microgrid, the formula for the new incentive benefit model is as follows: ； ； in, B new For new incentive benefits, The initial investment cost of the emergency power generation vehicle, To account for the annual operation and maintenance costs of emergency power generation vehicles, For fuel costs, k a This is the conversion factor for isochronous values. The discount rate is... L Project cycle; The formula for the power supply subsidy model is: ； in, To ensure power supply subsidies, Power supply subsidy for the unit To ensure the annual power supply of the energy storage system, The first investment for investors i The rated capacity of each energy storage battery, The number of energy storage batteries, The number of days in a year.

2. The method for operating a power-guaranteed photovoltaic-storage microgrid based on multi-party game theory according to claim 1, characterized in that, In the step of obtaining the network parameters and equipment parameters of the power supply-guaranteed photovoltaic-storage microgrid, the network parameters include network line impedance parameters and node load parameters, and the equipment parameters include equipment investment cost, daily maintenance cost, fault repair cost, unit initial investment cost of photovoltaic system, annual operation and maintenance cost of photovoltaic system, unit capacity initial investment cost of energy storage system, unit power initial investment cost of energy storage system, and annual operation and maintenance cost of energy storage system.

3. The method for operating a power-guaranteed photovoltaic-storage microgrid based on multi-party game theory according to claim 1, characterized in that, In the step of constructing the net income model for investment entities based on the new incentive benefit model and the power supply guarantee subsidy model for photovoltaic-storage microgrids, the formula for the net income model of photovoltaic investors is as follows: ； in, For photovoltaic investors, the optimal net return is achieved. For photovoltaic investors' annual returns, For photovoltaic investors, the power generation benefits This represents the annual value of the initial investment cost for photovoltaic investors. Annual operation and maintenance costs for photovoltaic investors; The formula for the net return model for energy storage investors is as follows: ； in, For energy storage investors, this represents the optimal net return. To improve the efficiency of energy storage and electricity sales, Subsidies for power supply to energy storage systems The cost of purchasing photovoltaic electricity for energy storage systems, For energy storage investors' initial investment costs, Annual operation and maintenance costs for energy storage investors; The formula for the net revenue model of microgrid operators is as follows: ； in, This represents the optimal net profit for microgrid operators. For electricity sales revenue, For the initial investment cost of microgrid operators, This represents the annual operation and maintenance cost for microgrid operators.

4. The method for operating a power-guaranteed photovoltaic-storage microgrid based on multi-party game theory according to claim 3, characterized in that, The variables in the net income models for photovoltaic investors, energy storage investors, and microgrid operators must satisfy the following constraints: power balance constraint, power flow constraint, photovoltaic system capacity constraint, photovoltaic electricity sales to energy storage constraint, energy storage capacity constraint, energy storage charging and discharging constraint, and the constraint that the energy storage charge is equal at the beginning and end of operation.

5. The method for operating a power-guaranteed photovoltaic-storage microgrid based on multi-party game theory according to claim 1, characterized in that, In the step of constructing the photovoltaic-storage-grid cooperative game model based on the net income model of the investment entity and the Nash negotiation cooperative game algorithm, the formula of the photovoltaic-storage-grid cooperative game model is: in, For photovoltaic investors, the optimal net return is achieved. For energy storage investors, this represents the optimal net return. This represents the optimal net profit for microgrid operators. , and These represent the breakdown points in the Nash negotiations for photovoltaic investors, energy storage investors, and microgrid operators, respectively.

6. The method for operating a power-guaranteed photovoltaic-storage microgrid based on multi-party game theory according to claim 1, characterized in that, The optimal operating strategy includes the optimal photovoltaic capacity, the amount of electricity and price sold from photovoltaic power to energy storage at each time, the optimal energy storage capacity, the charging and discharging power of energy storage at each time, and the unit power supply subsidy amount for energy storage investors.

7. A power supply-guaranteed photovoltaic-storage microgrid operation system based on multi-party game theory, characterized in that, include: A parameter acquisition unit is used to acquire the network parameters and equipment parameters of a power-guaranteed photovoltaic-storage microgrid. The first model building unit is used to build a new incentive benefit model and a power supply subsidy model for a power supply-guaranteed photovoltaic-storage microgrid based on the network parameters and equipment parameters of the power supply-guaranteed photovoltaic-storage microgrid in the emergency power supply scenario of the photovoltaic-storage microgrid. The formula for the new incentive benefit model is as follows: ； ； in, B new For new incentive benefits, The initial investment cost of the emergency power generation vehicle, To account for the annual operation and maintenance costs of emergency power generation vehicles, For fuel costs, k a This is the conversion factor for isochronous values. The discount rate is... L Project cycle; The formula for the power supply subsidy model is: ； in, To ensure power supply subsidies, Power supply subsidy for the unit To ensure the annual power supply of the energy storage system, The first investment for investors i The rated capacity of each energy storage battery, The number of energy storage batteries, The number of days in a year; The second model construction unit is used to construct the net income model of the investment entity based on the new incentive benefit model and the power supply guarantee subsidy model of the photovoltaic-storage microgrid with guaranteed power supply. The net income model of the investment entity includes the net income model of photovoltaic investors, the net income model of energy storage investors and the net income model of microgrid operators. The third model construction unit is used to construct a photovoltaic-storage-grid cooperative game model based on the net income model of the investment entity and the Nash negotiation cooperative game algorithm. The model calculation unit is used to solve the optical-storage-grid cooperative game model using the NSGA-II algorithm, obtain the Nash equilibrium point of the optical-storage-grid cooperative game model, obtain the optimal operating strategy based on the Nash equilibrium point, and output it.

8. An electronic device, characterized in that, The system includes a memory and a processor, wherein the memory stores computer programs or instructions, and the processor executes the computer programs or instructions to implement the power supply guarantee type photovoltaic-storage microgrid operation method based on multi-party game theory as described in any one of claims 1 to 6.

9. A storage medium, said storage medium being a computer-readable storage medium for computer-readable storage, characterized in that, The storage medium stores one or more programs, which can be executed by one or more processors to implement the power supply guarantee type photovoltaic-storage microgrid operation method based on multi-party game theory as described in any one of claims 1 to 6.

Images